四川轻化工大学学报（自然科学版）2025，Vol.38Issue(4)：92-101,10.DOI:10.11863/j.suse.2025.04.10
基于层次K-means聚类算法的配电网电压分区控制
Voltage Zoning Control of Distribution Network Based on Hierarchical K-means Clustering Algorithm
摘要
Abstract
A large number of renewable energy sources are connected to the distribution network,while the uncertainty and volatility of their output increases the difficulty of reactive voltage control in the distribution network system.A reactive power divider control method for distribution networks is proposed in the present study,which divides the system into multiple control areas and utilizes the reactive power output of the reactive power source to achieve divider control.The hierarchical clustering based K-means clustering algorithm is adopted as the distribution network partitioning strategy,using the profile coefficients and Calinski-Harabasz as the partitioning evaluation indexes,and the dominant nodes are determined by the sensitivity coefficients for the access points of distributed power sources in each partition.A reactive power optimization model is established based on the indicators of minimum system network loss,voltage deviation,and voltage stability,whose weight coefficients are subjectively assigned,and the optimal solution for the model is obtained by using the improved Particle Swarm Optimization(IPSO)algorithm.With zoning control,the network loss is reduced by 9.7184 kW and the voltage deviation is reduced by 0.0561 p.u..Finally,the improved IEEE33 node distribution system is simulated to verify that this method can effectively carry out reactive power voltage control to ensure safe operation.关键词
配电网/分区控制/层次聚类/灵敏度系数/优化模型Key words
distribution network/zoning control/hierarchical clustering/sensitivity coefficients/optimization models分类
信息技术与安全科学引用本文复制引用
张令雄,杨毅强,徐万,唐青林..基于层次K-means聚类算法的配电网电压分区控制[J].四川轻化工大学学报（自然科学版）,2025,38(4):92-101,10.基金项目
四川省科技厅项目(2022YFS0518 （）
2022ZHCG0035) （）
自贡市科技局项目(2020YGJC16) （2020YGJC16）
